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Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems

Author

Listed:
  • Fevzi Çakmak

    (Midyat Vocational School, Mardin Artuklu University, Mardin 47500, Turkey)

  • Zafer Aydoğmuş

    (Faculty of Technology, Electrical and Electronics Engineering, Firat University, Elazığ 23000, Turkey)

  • Mehmet Rıda Tür

    (Faculty of Engineering, Electrical and Electronics Engineering, Batman University, Batman 72000, Turkey)

Abstract

This manuscript aims to increase the utilization of solar energy, which is both environmentally friendly and easily accessible, to satisfy the energy needs of developing countries. In order to achieve this goal, maximum power generation should be provided from photovoltaic panels. Several maximum power point tracking (MPPT) methods are utilized for maximum power generation in photovoltaic panel systems under different weather conditions. In this paper, a novel intelligent hybrid fuzzy logic-controlled maximum power point tracking algorithm founded on the perturb and observe (PO) algorithm is presented. The proposed fuzzy logic controller algorithm and the incremental conductivity maximum power point tracking algorithm were simulated in a MATLAB(2018b version)/Simulink environment and evaluated by comparing the results. Four Sharp ND-F4Q295 solar panels, two in series and two in parallel, were used for the simulation. In this study, the voltage ripple of the proposed hybrid method was measured at 1% compared to the classical incremental conductivity method, while it was 8.6% in the IncCon method. Similarly, the current ripple was 1.08% in the proposed hybrid FLC method, while the current ripple was 9.27% in the IncCon method. It is observed that the proposed smart method stabilizes the system voltage faster, at 25 ms, in the event of sudden weather changes.

Suggested Citation

  • Fevzi Çakmak & Zafer Aydoğmuş & Mehmet Rıda Tür, 2025. "Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems," Energies, MDPI, vol. 18(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:233-:d:1561875
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    References listed on IDEAS

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    1. Schmalensee, Richard, 2015. "The future of solar energy: A personal assessment," Energy Economics, Elsevier, vol. 52(S1), pages 142-148.
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